Central Limit Theorem Demonstration

This application illustrates the Central Limit Theorem, specifically how it tends to a Gaussian distribution when multiple probability distributions are added. As such, distributions that are far away from Gaussian are available to add to the existing distribution.

Although this is a tool that I use in a course, this is also a test bed for different technologies. As such, the language and frameworks may change for no reason other that I wanted too.

Building

This application uses Tauri with the frontend (GUI) build with SolidStart.

First install the prerequisites for Tauri. After cloning the repository, run npm install in the root folder to install all the JavaScript dependencies.

To run a development version, first install the Tauri CLI application (either the Rust or JavaScript version). With the Tauri CLI installed, run npm run dev. To build the target for the local platform, run npm run build. The resulting executable will be in the src-tauri/target/release folder. The release version can be previewed using npm run start.

GitHub actions are used to generate release versions.